61% Of NOAA USHCN Adjusted Temperature Data Is Now Fake

The vast majority of high quality long-term temperature data comes from the US, and in fact much of the planet has little or no long-term temperature data. Because of the poor coverage, it is doubtful that the published global temperature record has any scientific validity. The US is one of very few places with reliable temperature data.

This was very disturbing to both NASA and NOAA. Their CO2 warming theory was failing badly, so they simply changed the data, turning cooling into warming. This happened at the same time Michael Mann was erasing the Medieval Warm Period.

The blue line below shows the five year mean of the average annual temperature at all NOAA United States Historical Climatology Network Stations. The red line shows the graph they release to the public, and has been highly altered to create the appearance of warming – which does not exist in the thermometer data.

If they believe there is error in the data, the correct way to handle it is to leave the data intact, and put error bars on it. Not alter the data and pass it to the public as if it represents the actual thermometer data.

The next graph shows the adjustments they are making, which creates a spectacular hockey stick of data tampering since the 1960s.

Plotted with atmospheric CO2 on the X-axis instead of time, it becomes apparent that the data is being altered precisely (R² = 0.97) to match global warming theory. The ultimate junk science.

Most of the recent data tampering has been due to simply making data up. In their monthly temperature data, they mark estimated (as opposed to measured) temperatures with a capital “E.” So far in 2019, sixty-one percent of the monthly temperature data is now estimated by a computer model, rather than actual measured thermometer data. The amount of fake data is up 500% since 30 years ago.

I grouped the NOAA adjusted temperatures into two groups:

Measured and adjusted (blue)

Estimated (red)

Almost all of the US warming since 1990 is due to fake data from computer models, which now makes up 60% of the data.

The fake data is running two degrees warmer than the measured adjusted data. Not hard to create warming when you are simply making the data up.

Climate scientists openly discussed getting rid of the 1940s warmth, and they did just that.

Don’t be confused.Climate science is just as term.As McDonalds 100% beef.There never was nor will be anything even close to100% beef at McDondalds-it is just the name of their meat provider,who got this name for the sole purpose of fooling people.

Climate science is as much about science and climate as a gatekeeper is about keeping gates.The only difference is that the latter is about butterflies and the first about humans who are not scientists but gatekeepers making sure people don’t leave the plantation.

Look for the satellite data to be adjusted to bring it into compliance with the fully fraudulent surface temperatures. The Guardian is now working to discredit UAH, so it seems likely that RSS will soon be making big changes – to match the needs of the climate mafia. Bookmark this post.

Ocean temperature data shows warming is accelerating faster than we thought. Data, not models, at fault… “In the past when [the models and records] didn’t agree so well, part of that was a problem with the observations, not the models,” he said.

One of the bad things about these global data adjustments is that it will put back real Climate research and our understanding of climate cycles. All papers published using these fraudulent time series as a basis for their findings will be worthless. Sad!

Science is tangible when you have a car, a phone or any gadget or service. Climate science theories are very difficult to prove and feel, a science that you cannot replicate experiences or theories. It is just a statistically exercise about past data, with a clear objective: ideology. By alarming people, they can forced the money for climate investigation which in turn is use to support anti-capitalist politics and ideology (US democrats, socialists and any extreme left wing party worldwide). And with the support of the new born activists-capitalists that sell green technologies. This is what I call “climate terrorism”.

The latest GISSTEMP’s Land Ocean Temperature Index LOTI came out a few days ago, and compared to the November 2018 edition, 47% of the 1668 monthly entries had been changed. All of the adjustments for the months of 1972 through 2018 (except for December 2004) were adjusted up. Of the 442 adjustments prior to the 1972 data 90% were adjusted down.

Imagine the noise from the left if skeptics were caught altering data. Just for fun we should start our own official temperature adjustments. We could start with the obvious UHI which alarmists do not account for, and easily justify cooling modern temperatures while raising historic values.

Then get the popcorn and watch as lefty heads start exploding. It would be a wonderful teachable moment.

It would be used to discredit everyone who doesn’t believe the official narrative. And since they have the media it will be nothing but headlines of how skeptics proliferate fake data/news. It’s not a tactic that will work. Better to put them in the position of trying to hide the information of what is going on.

The tactic I prefer is to show that the entire warming signal is the opinion of government funded experts who’s results are then used as justification for more and higher taxes to fund more government and micromanagement of people’s lives. It’s very difficult to argue against, because there’s no debate that they adjust the data. It moves “settled science” into the opinion of experts. It’s not science at all, it’s authority. I usually leave off with that people can believe authority if they wish. A bit of shaming them into thinking for themselves.

Understanding why what authority is doing with temperature data is invalid only requires a fifth grade understanding of science. Well at least I learned it in fifth grade science class. People just need to be knocked out of their laziness.

While it would be nice to adjust the data properly for UHI it is not really needed to make the point. It wouldn’t have that big of an effect over a large data set like that of the USA. What will it do? Increase the cooling trend from the 1930s? Not warming is enough to show that the CO2 theory is invalid.

While it would be nice to adjust the data properly for UHI it is not really needed to make the point. It wouldn’t have that big of an effect over a large data set like that of the USA.

You clearly do not understand UHI. It is not just an urban problem, it can be found anywhere there is pavement, and extends well beyond the boundaries of large cities. All of the observed 20th century warming can likely be explained by selective station siting, and UHI.

And as for creating our own numbers, again, it would be a great teachable moment where we might all agree to stop screwing with data. Good for the goose, good for the gander.

How do you make your determination that I do not understand UHI? I’ve understood UHI since I was 10 years old and found it much colder on summer evening ten feet into the undeveloped land a block and half from my parents’ house. Yet at different times under different weather conditions there would be no drop at all.

Each and every station would need to be looked at to see where it is and what’s around it over time. Then measurements taken near and far away from the station under different weather conditions to determine the proper correction for each and every station for every day in the record. It will still be imperfect but at least it won’t be the garbage the establishment is doing. It is what needs to be done if you want to have any chance at all to be accurate instead of essentially pulling a number out of your ass like the establishment climate “scientists” do.

Sure you could come up with a model and use nearby stations to produce a correction but you don’t know how much UHI those stations have either. You’ll be doing what the establishment does. You’ll just have your own correction model and it will be just as much bullshit as theirs.

And because you’ll being do what the establishment does they’ll know exactly how to use it to discredit anyone who opposes them. Your good for the goose good for the gander approach assumes they are stupid rather than fraudsters. They know exactly what they are doing mathematically and even if they are stupid enough to believe their own lies they’ll still make sure that any use of the same techniques against them but with the opposite result discredit their opposition.

I’ve understood UHI since I was 10 years old and found it much colder on summer evening ten feet into the undeveloped land a block and half from my parents’ house.

Then you understand that even the temperature of the undeveloped land is also higher than it would be were there not infrastructure nearby.

You’ll just have your own correction model and it will be just as much bullshit as theirs. And because you’ll being do what the establishment does they’ll know exactly how to use it to discredit anyone who opposes them.

The only counter argument I’ve seen boils down to ‘they are the experts’. The reasoning behind the adjustments amounts to opinion. And nothing justifies presenting the result of their opinionated data analysis as measurements. They aren’t measurements.

In a data set this large errors are going to cancel themselves out. The measurements should be used as is without a very compelling case not to. The most compelling case for adjustment is UHI but that has to be done by studying each station individually and the change in its surroundings over time. Which of course is not done so we don’t know how much warming is from the urban heat island effect. Over the entire data set it may not amount to much anyway, but for individual stations can be rather dramatic. I wouldn’t expect unbiased study into UHI anytime soon.

As a scientist, I might be willing to accept that one data set has a problem. But all of them beggars belief. And that all of them are adjust upward, to conform with each other, is another statistical puzzle. Interestingly, with all of these errors, they seem to never make a mistake in the other direction. The other explanation is that you have one of the most incompetent group of scientists involved in this field. And if you accept the later explanation, one might then ask how this group is trusted with anything, never mind their advocacy to completely change the world’s energy supply?

If you are trying to really figure out what is going on, I suggest that you compare and contrast these two articles:

Climate Science: Is it currently designed to answer questions?Richard S. Lindzen – Program in Atmospheres, Oceans and Climate MIT, Cambridge MA 02139, USA

In 1972, a British scientist sounded the alarm that sugar – and not fat – was the greatest danger to our health. But his findings were ridiculed and his reputation ruined. How did the world’s top nutrition scientists get it so wrong for so long?

All of the same elements are in play: critical skeptics, unjust persecutions, ruined reputations and careers, corruption of scientific institutions, corruption of grant funding institutions, corruption of peer review, glib congressional investigations and a guileless, scientifically ill-educated and dependent public reliant on appeals to scientific authority to make medical decisions. .

I’ll pull it all and play with it. I’d thought to try working with it in compiled Labview (‘app builder’) – which is good at handling large multidimensional arrays (day/month/year/site; am I missing anything?) – for fun, and see what kind of processing speed I can get. My initial question was kind of to determine whether I should choose USHCN or GHCN first, and I should have phrased it better.

What’s the avenue of exposure during the Trump Administration? It’s not like this is the #1 website for forwarding liberal policies. DEEP STATE scientists will continue on their own path of least resistance and will continue to have our U.S. Government behind them no matter who is in office. They will also continue to post as representatives of “NOAA” and/or “NASA”, which simply means that Trump himself is backing their claims. Dummy Craps seem to be a high % of government employment. 3,000,000+ employees? White House Administration officials will continue to undermine U.S. citizen’s “right-to-know”, because we simply can’t fire them.

The Hawai‘i DLNR Division of State Parks reports that for perhaps the first time ever, snow has fallen in a Hawai‘i State Park on Saturday, Feb. 9, 2019. Polipoli State Park on Maui is blanketed with snow. It could also be the lowest elevation snow ever recorded in the state. Polipoli is at 6200 feet elevation.

Snow in Hawaii is not unusual at the higher elevations . It may be a first for that area of Maui however snow at that level on the Big Island happens now and then . The real story is the winds from that storm . Mauna Kea had sustained winds of 130mph with gusts to over 190mph . Our area near Honokaa suffered major damage from wind to our electrical grid . And the wind was from the opposite direction than our normal trade winds . And it was cold wind !

Hi Tony- What are your thoughts on the topic of chemtrails, geoengineering, solar radiation management, Haarp, heavy metals being sprayed in the sky, etc. Have you done any researh on these topics? Do you beleive this impacts weather and /or climate change? Has there been any dialogue that you know of between climate scientists/academics such as yourself talking about the relationship between real climate science and chemtrails/weather control programs.

Thank you for your brilliant work and all that you do keep truth and sanity alive!

Please clarify what the “0” represents in these climate temperature graphs?Also, what is considered to be the adverage global temperature of 2018, 2917, 2916?I am finding it difficult to find the answer to these questions.Thank you so much in advance for answeringRegardsPhil

Dear Tony:To clarify, what does the “0” represent in all these climate temperature graphs? What was the average global temperature in 2018,2017, and 2016?Thank you in advance for this information. I am finding it hard to get the answer to these.

“There is overwhelming evidence of fraud in NOAA and NASA’s handling of climate data, and it is very important they are held to account.”

How do we get this message through to Pres Trump? I don’t send anything to his White House contact page because I don’t trust any of his staff.

Has Barry Myers been appointed NOAA Administrator yet?

Trump has delivered on all his promises (except his wall so far). He did promise to stop NASA publishing politicized science in relation to climate change. He said he wanted them to concentrate on what they did best – Space.. I see Gavin Schmidt still sticking it to Trump.

Trump promised to drain the swamp. He hasn’t delivered on draining the NOAA and NASA-GISS swamps yet.

You’ve surprised me with the current NOAA method of adjustment. They are now using climate models. They were all using an algorithm that truncated the 1850-1910, lowered the old and raised the recent temperatures. Including the UK Met Office. The Australian Bureau of Meteorology are still using this algorithm. They are not using models – yet.